Quantitative Methods for Business has been thoroughly revised and updated for this 4th edition, and continues to provide a simple and practical introduction to an area that students can find difficult. The book takes a non-threatening approach to the subject, avoiding excessive mathematics and abstract theory. It shows how to apply quantitative ideas to the real problems faced by managers. The book includes numerous exercises and examples that help students understand the relevance of quantitative ideas to business. Assuming no previous knowledge, the text provides complete coverage for a first course in quantitative methods.
Table of Contents
Preface Part One - Background Chapter 1: Managers and numbers Chapter 2: Quantitative tools Chapter 3: Drawing graphs Part Two - Collecting and summarising data Chapter 4: Collecting data Chapter 5: Diagrams for presenting data Chapter 6: Using numbers to describe data Chapter 7: Desccribing changes with index numbers Part Three - Solving management problems Chapter 8: Finance and performance Chapter 9: Regression and curve fitting Chapter 10: Forecasting Chapter 11: Simultaneous equations and matrices Chapter 12: Planning with linear programming Chapter 13: Rates of change and calculus Part Four - Introducing statistics Chapter 14: Uncertainty and probabilities Chapter 15: Probability distributions Chapter 16: Using samples Chapter 17: Testing hypotheses Part Five - Management problems with uncertainty Chapter 18: Making decisions Chapter 19: Quality management Chapter 20: Inventory management Chapter 21: Porject networks Chapter 22: Queues and simulation Glossary Appendix A: Solutions to review questions Appendix B: Probabilities for the binomial distribution Appendix C: Probabilities for the Poisson distribution Appendix D: Probabilities for the Normal distribution Appendix E: Probabilities for the t-distribution Appendix F: Critical values for the X2 distribution Index